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Source-Load-Storage Coordination Optimization Strategy Based on System Operation Domain Division

机译:基于系统操作域划分的源-负载-存储协调优化策略

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In recent years, the integration of a high proportion of renewable energy into the grid has become an inevitable trend and an important direction for global energy development. With the increasing penetration of wind power in the power system, it has brought new challenges to the stable operation of the power grid. On the basis of ensuring the safe and stable operation of the power system, the establishment of a coordinated scheduling model and method that improves the capacity of renewable energy accommodation and reduces the operating cost of the power system has become a key issue for the optimal operation of wind power systems. This paper uses the scene analysis method to generate wind power output and load curves. According to the different operating conditions of the power system under different operating conditions, a method for dividing the system into different operating domains is proposed. According to the size and change trend of the downstream adjustable capacity of the power system, the "source-load-storage" system containing conventional units, wind farms, electricity storage and flexible loads is divided into a voluntary accommodation domain, a deep accommodation domain and wind curtailment domain. Aiming at different system operation domains, a staged optimal scheduling model of source and storage under different domains is established. The simulation shows that the use of this optimized scheduling method improves the economics, safety and wind power accommodation capacity of the system.
机译:近年来,高比例的可再生能源并入电网已成为必然趋势,也是全球能源发展的重要方向。随着风电在电力系统中的渗透率不断提高,给电网的稳定运行带来了新的挑战。在确保电力系统安全稳定运行的基础上,建立协调调度模型和方法,以提高可再生能源的容纳能力,降低电力系统的运行成本,已成为优化运行的关键问题。风电系统。本文使用场景分析方法来生成风能输出和负荷曲线。针对电力系统在不同工况下的不同工况,提出了一种将电力系统划分为不同工况域的方法。根据电力系统下游可调节容量的大小和变化趋势,将包含常规机组,风电场,电力存储和弹性负荷的“源-负荷-存储”系统划分为自愿容纳区域,深层容纳区域和削减风电领域。针对不同的系统操作域,建立了不同域下源和存储的分阶段最优调度模型。仿真表明,使用这种优化的调度方法可以提高系统的经济性,安全性和风力发电能力。

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